Triple

T8017415
Position Surface form Disambiguated ID Type / Status
Subject Keen E186652 entity
Predicate hasNotableBearer P458 FINISHED
Object Peter Keen
Peter Keen is a British cycling coach and sports performance director known for his influential role in developing elite British cycling programs and athletes.
 E707626 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peter Keen | Statement: [Keen, hasNotableBearer, Peter Keen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Keen
Context triple: [Keen, hasNotableBearer, Peter Keen]
  • A. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • B. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • C. Peter Fagan
    Peter Fagan is best known as the young journalist who became engaged to Helen Keller while working as her temporary secretary in 1916.
  • D. Peter Davies
    Peter Davies is a film editor best known for his work on the James Bond movie "A View to a Kill."
  • E. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peter Keen
Triple: [Keen, hasNotableBearer, Peter Keen]
Generated description
Peter Keen is a British cycling coach and sports performance director known for his influential role in developing elite British cycling programs and athletes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Keen
Target entity description: Peter Keen is a British cycling coach and sports performance director known for his influential role in developing elite British cycling programs and athletes.
  • A. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • B. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • C. Peter Fagan
    Peter Fagan is best known as the young journalist who became engaged to Helen Keller while working as her temporary secretary in 1916.
  • D. Peter Davies
    Peter Davies is a film editor best known for his work on the James Bond movie "A View to a Kill."
  • E. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df4f1b8819089a8b67f136bce9a completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c213ec8190b3bd96c42d1357e4 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58a9e94081908980e2c60be38642 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbaefb481909eb325f0d27675c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:20 p.m.